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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. What is good fit for Hadoop Distributed File System (HDFS)?

A) Applications requiring low latency data access.
B) Multiple writers accessing the same file.
C) Applications requiring high throughput of data.
D) Lots of small files.

2. What is HADOOP?

A) Hadoop is framework capable of transforming raw, unstructured data into plain, regular data readable by traditional data warehouses.
B) Hadoop is a single-node file system used as a base for storing traditional formatted data.
C) Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using a simple programming model.
D) Hadoop is a universal Big Data programming language used to query large datasets.

3. Which of the following InfoSphere BigInsights features provides a vast library of extractors enabling actionable insights from large amounts of native textual data?

A) Adaptive MapReduce.
B) Text Analytics.
C) General Parallel File System.
D) BigSheets.

4. Which of the following options is CORRECT?

A) InfoSphere BigInsights is based on the nonforked core Hadoop distribution, but backwards compatibility with the Apache Hadoop project is not guaranteed, therefore applications written for Hadoop might not run on BigInsights.
B) InfoSphere BigInsights is a distributed file system used as base for Hadoop distributions.
C) InfoSphere BigInsights is based on a branched Hadoop distribution, and therefore backwards compatibility is not guaranteed.
D) InfoSphere BigInsights is based on the nonforked core Hadoop distribution, and backwards compatibility with the Apache Hadoop project will always be maintained. Therefore, all applications written for Hadoop will run on BigInsights.

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